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Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 776))

Abstract

Analysis of road accident is very important because it can expose the relationship between the different types of attributes that contributes to a road accident. Attributes that affect the road accident can be road attribute, environment attributes, traffic attributes etc. Analyzing road accident can provide the information about the contribution of these attributes which can be utilized to overcome the accident rate. Nowadays, Data mining is a popular technique for examining the road accident dataset. In this study, we have performed the classification of road accident on the basis of road user category. We have used Self Organizing map (SOM), K-modes clustering technique to group the data into homogeneous segments and then applied Support vector machine (SVM), Naive Bayes (NB) and Decision tree to classify the data. We have performed classification on data with and without clustering. The result illustrates that better classification accuracy can be achieved after segmentation of data using clustering.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National University of Science and Technology Misis, Moscow, Russia

    Prayag Tiwari & Denis Kalitin

  2. Centre for Transportation Systems, Indian Institute of Technology Roorkee, Roorkee, India

    Sachin Kumar

Authors
  1. Prayag Tiwari
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  2. Sachin Kumar
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  3. Denis Kalitin
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Corresponding author

Correspondence to Prayag Tiwari .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Tiwari, P., Kumar, S., Kalitin, D. (2017). Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_31

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  • DOI: https://doi.org/10.1007/978-981-10-6430-2_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6429-6

  • Online ISBN: 978-981-10-6430-2

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